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[model_arguments] |
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v2 = false |
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v_parameterization = false |
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pretrained_model_name_or_path = "/content/pretrained_model/Stable-Diffusion-v1-5.safetensors" |
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vae = "/content/vae/stablediffusion.vae.pt" |
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|
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[additional_network_arguments] |
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no_metadata = false |
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unet_lr = 0.0001 |
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text_encoder_lr = 5e-5 |
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network_module = "networks.lora" |
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network_dim = 32 |
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network_alpha = 16 |
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network_train_unet_only = false |
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network_train_text_encoder_only = false |
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|
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[optimizer_arguments] |
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optimizer_type = "AdamW8bit" |
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learning_rate = 0.0001 |
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max_grad_norm = 1.0 |
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lr_scheduler = "constant" |
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lr_warmup_steps = 0 |
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|
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[dataset_arguments] |
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debug_dataset = false |
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in_json = "/content/LoRA/meta_lat.json" |
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train_data_dir = "/content/drive/MyDrive/by_zdzislaw_beksinski" |
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dataset_repeats = 5 |
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shuffle_caption = true |
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keep_tokens = 0 |
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resolution = "512,512" |
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caption_dropout_rate = 0 |
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caption_tag_dropout_rate = 0 |
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caption_dropout_every_n_epochs = 0 |
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color_aug = false |
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token_warmup_min = 1 |
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token_warmup_step = 0 |
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|
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[training_arguments] |
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output_dir = "/content/drive/MyDrive/LoRA/output" |
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output_name = "by_zdzislaw_beksinski_finetuned" |
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save_precision = "fp16" |
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save_every_n_epochs = 1 |
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train_batch_size = 2 |
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max_token_length = 225 |
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mem_eff_attn = false |
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xformers = true |
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max_train_epochs = 10 |
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max_data_loader_n_workers = 8 |
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persistent_data_loader_workers = true |
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gradient_checkpointing = false |
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gradient_accumulation_steps = 1 |
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mixed_precision = "fp16" |
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clip_skip = 2 |
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logging_dir = "/content/LoRA/logs" |
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log_prefix = "by_zdzislaw_beksinski_finetuned" |
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noise_offset = 0.01 |
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lowram = false |
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|
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[sample_prompt_arguments] |
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sample_every_n_epochs = 999999 |
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sample_sampler = "ddim" |
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[saving_arguments] |
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save_model_as = "safetensors" |
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